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| 종단 맥도날드 오메가× | 크론바흐 알파 (신뢰도 분석)× | 재검사 신뢰도× | |
|---|---|---|---|
| 분야≠ | 심리측정학 | 통계학 | 심리측정학 |
| 계열 | Latent structure | Latent structure | Latent structure |
| 기원 연도≠ | 1999 (original omega); 2014 (longitudinal extension) | 1951 | 1904 |
| 창시자≠ | McDonald (1999); extended to longitudinal contexts by Geldhof, Preacher, and Zyphur (2014) and subsequent authors | Lee J. Cronbach | Karl Pearson |
| 유형≠ | Reliability / internal consistency coefficient | Reliability / internal consistency coefficient | Reliability estimate |
| 원전≠ | McDonald, R. P. (1999). Test Theory: A Unified Treatment. Lawrence Erlbaum Associates. ISBN: 978-0805830(textbook) | Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334. DOI ↗ | Nunnally, J. C. & Bernstein, I. H. (1994). Psychometric Theory (3rd ed.). McGraw-Hill. ISBN: 978-0070478497 |
| 별칭 | longitudinal omega, omega longitudinal reliability, time-varying omega, repeated-measures omega | coefficient alpha, alpha reliability, internal consistency reliability, Güvenilirlik Analizi (Cronbach Alpha) | stability reliability, temporal stability, repeatability coefficient, TRT reliability |
| 관련≠ | 3 | 4 | 4 |
| 요약≠ | Longitudinal McDonald's omega estimates scale reliability separately at each measurement occasion in a panel or repeated-measures study. By fitting a confirmatory factor model at each wave, it tracks how consistently a set of items measures its target construct over time, detecting erosion or improvement in measurement quality that a single omnibus reliability coefficient would obscure. | Cronbach's alpha is a coefficient of internal consistency that quantifies the degree to which a set of items on a scale measures the same underlying construct. Introduced by Lee J. Cronbach in 1951, it remains the most widely reported reliability index in social-science, health, and educational research. | Test-retest reliability quantifies the temporal consistency of a measure by correlating scores obtained from the same participants on two separate occasions. It is a cornerstone of psychometric validation, directly indicating whether a scale or instrument yields stable scores when the underlying construct has not changed. |
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